matrx-assignment

Typed, payload-agnostic assignment planning and durable coordination.

The library turns a strict plan into immutable work items, then drives those items through an injected store and executor. Hosts can begin with coordinated rows (for example, 50 paired topic + research inputs) and later add policies without changing the agent or workflow execution systems.

Supported plans:

  • coordinated_rows: preserve paired values and run every row once.
  • independent_random: choose every variable independently with unbiased system randomness, optionally without repeating a full combination.
  • cartesian: enumerate combinations, optionally in unbiased random order.

Random plans are materialized once and persisted by the host. Recovery therefore resumes the same items instead of producing a new draw.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.1.19)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for armanisadeghi from gravatar.com armanisadeghi

Requires

Python >=3.13

Provides Extra

dev

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

matrx_assignment-0.1.3.tar.gz (15.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

matrx_assignment-0.1.3-py3-none-any.whl (12.9 kB view details)

Uploaded Python 3

File details

Details for the file matrx_assignment-0.1.3.tar.gz.

File metadata

  • Download URL: matrx_assignment-0.1.3.tar.gz
  • Upload date:
  • Size: 15.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for matrx_assignment-0.1.3.tar.gz
Algorithm Hash digest
SHA256 623a890330a9a3c22f4fa4d3389848a4347f39b61ec0404c2b6efc3d8ac21c51
MD5 28bbbcf5e4fde326791c8fef54dbae30
BLAKE2b-256 c27c800878f9cec1c3c62f2dbd14554ebac9341583de1cd424529bfc1ad34252

See more details on using hashes here.

Provenance

The following attestation bundles were made for matrx_assignment-0.1.3.tar.gz:

Publisher: publish-package.yml on AI-Matrix-Engine/aidream

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file matrx_assignment-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for matrx_assignment-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 dd56d4c927780f524ed91274682c8f91cd20e27d0477b3e4c561ac09df5ef3cf
MD5 c7235df188eabd72f4d440960510e616
BLAKE2b-256 bbd41833005e888c0da11fc5769e12618bc413e7e82983804a98dbd8f60ef611

See more details on using hashes here.

Provenance

The following attestation bundles were made for matrx_assignment-0.1.3-py3-none-any.whl:

Publisher: publish-package.yml on AI-Matrix-Engine/aidream

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

0.1.19

2 files

0.1.18

2 files

0.1.17

2 files

0.1.16

2 files

0.1.15

2 files

0.1.14

2 files

0.1.13

2 files

0.1.12

2 files

0.1.11

2 files

0.1.10

2 files

0.1.9

2 files

0.1.8

2 files

0.1.7

2 files

0.1.6

2 files

0.1.5

2 files

0.1.4

2 files

This release

0.1.3 This release

2 files

0.1.2

2 files

0.1.1

2 files

0.1.0

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page